基于粗糙集理论的电力系统故障诊断

Study of Fault Diagnosis in Power System Based on Rough Set Theory

鉴于粗糙集理论具有在处理不精确问题时,不需要提供待求解问题所需处理的数据集合之外的任何先验信息的特点,运用粗糙集方法把保护和断路器的信号作为对故障分类的条件属性集,并考虑了各种可能发生的故障情况,以此建立决策表。然后实现决策表的自动化简和约简。搜索决策表的约简形式,区分关键信号和非关键信号,从故障样本集中导出诊断规则,从而达到在不完备信息下快速准确地进行故障诊断的目的;揭示了这种方法的有效性。

Based on the fact Rough Set theory handle tor information except the date set itself, a decision table ering the signals of protection relays and circuit breakers. the imprecise problems can effectively without any ancesincluding all kinds of fault cases is established by consid- And then, the diagnostic rules are extracted by reducing decision table. Searching for reducing decision table, the method can tell indispensable signals from the dispensable ones and discover the inherent redundancy of signal set. It shows that the method is quite efficient.